Advancements in Precision Prevention: Top Bioinformatics and Translational Informatics Papers of 2023.

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800724
Scott McGrath, Mary Lauren Benton
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引用次数: 0

Abstract

Objective: To identify and summarize the top bioinformatics and translational informatics (BTI) papers published in 2023, focusing on the area of precision prevention.

Methods: We conducted a literature search to identify the top papers published in 2023 in the field of BTI. Candidate papers from the search were reviewed by the section co-editors and a panel of external reviewers to select the top three papers for this year.

Results: Our literature search returned a total of 550 candidate papers, from which we identified our top 10 papers for external review. The papers were evaluated based on their novelty, significance, and quality. After rigorous review, three papers were selected as the top BTI papers for 2023. These papers showcased innovative approaches in leveraging machine learning models, integrating multi-omics data, and developing new experimental techniques. Highlights include advancements in single-cell genomics, dynamic surveillance systems, and multimodal data integration.

Conclusions: We found several trends in the ten candidate BTI papers, including the refinement of machine learning models, the expansion of diverse biological datasets, and the development of scalable experimental techniques. These trends reflect the growing importance of bioinformatics and translational informatics as a cornerstone for improving predictive and preventative healthcare measures.

精确预防的进展:2023年生物信息学和转化信息学顶级论文。
目的:识别和总结2023年生物信息学和转化信息学(BTI)领域发表的顶级论文,重点关注精准预防领域。方法:我们进行文献检索,找出2023年发表在BTI领域的顶级论文。从搜索的候选论文由部分共同编辑和外部评审员小组审查,以选出今年的前三篇论文。结果:我们的文献检索共返回了550篇候选论文,从中我们确定了前10篇论文供外部评审。论文根据其新颖性、重要性和质量进行评估。经过严格的评审,3篇论文入选了2023年度BTI顶级论文。这些论文展示了利用机器学习模型、整合多组学数据和开发新的实验技术的创新方法。重点包括单细胞基因组学、动态监测系统和多模式数据集成方面的进展。结论:我们在10篇候选BTI论文中发现了几个趋势,包括机器学习模型的改进,各种生物数据集的扩展以及可扩展实验技术的发展。这些趋势反映了生物信息学和转化信息学作为改善预测性和预防性医疗保健措施的基石的日益增长的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Yearbook of medical informatics
Yearbook of medical informatics Medicine-Medicine (all)
CiteScore
4.10
自引率
0.00%
发文量
20
期刊介绍: Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.
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